Tau's humanoid cleaning service
Tau is launching an invite-only humanoid cleaning service in San Francisco for $30 per hour, using a human-in-the-loop control model.
Decoder
- ACT (Action Chunking with Transformers): A model architecture developed by Tony Zhao that allows robots to learn complex manipulation tasks by predicting a sequence of actions from a single input observation.
Original article
Today, we’re launching Tau’s humanoid cleaning service in San Francisco at $30 per hour.
Access is initially invite-only as we scale operations. If you don’t have an invite yet, join the waitlist at tau-robotics.com.
All footage is shown at 1× speed. Each humanoid is jointly controlled by a human operator and AI.
Early results from my AI training runs. I've trained my $200 robot arm on a simple picking task using imitation learning. It has learned to control the robot arm using only camera images and joint states.
The learning algorithm is based on ACT from @tonyzzhao. However, it is modified to use language instructions to learn multiple tasks with a single neural network. The video shows a policy that was trained on two instructions. One instruction to pick up the block and one to put it down. The entire training dataset contains about 400s of teleoperated trajectories.
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